SISCA OM fit report
Data Scenario and Model Hypothesis
Standard fit report for fits of SISCA to HG_Herring data.
Data Scenario: setup_HG
Model Hypothesis: setup_Aggregate_AR1comps
Species:
Stocks:
Final phase convergence diagnostics
Max Gradient: 0.0019872
Objective Function value: 166.1804007
Time to fit model: 0.06
PD Hessian: FALSE
No. of Non-finite SEs: 1
Model fits
At-a-glance
Figure 1: Time series of spawning biomass with scaled spawn indices (top), recruitments (second row), natural mortality (third row), and harvest rates (bottom row) for substocks of HG_Herring. Stocks are, from left to right,Aggregate.
Fits to data
Figure 2: Model fits to spawn indices.
Figure 3: Average model fits to age data. Stocks are left to right, and gears are top to bottom.
Figure 4: Model fits to age data, averaged over stock and time. Gears are top to bottom.
| \(\tau^{age}_{Red}\) | \(\tau^{age}_{SR}\) | \(\tau^{age}_{Gn}\) | \(\tau^{surv}_{Su}\) | \(\tau^{surv}_{D}\) | |
|---|---|---|---|---|---|
| Aggregate | 0.476 | 0.441 | 0.646 | 0.483 | 0.475 |
Recruitment
Figure 5: Age-1 recruitments for all stocks. Equilibrium unfished recruitment \(R_0\) is indicated by the horizontal dashed line. Second row shows recruitment residuals on the log scale, with the average of estimated residuals shown by the horizontal red dashed line.
Figure 6: Stock-recruit curves (solid lines) and modeled recruitments (coloured points)
Selectivity and Catch
Figure 7: Catch in biomass units for each stock (rows). Stacked bars show the total yearly catch for each commercial fleet, and the dead ponded fish shown with a red border.
Figure 8: Catch in biomass units for each stock (rows). Stacked bars show the total yearly catch for each commercial fleet, and the dead ponded fish shown with a red border.
Figure 9: Selectivity-at-age for each fleet (rows). Aggregate stock average selectivity curves are shown as thick grey lines, while sub-stock specific estimates are shown as dashed thin coloured lines.
Reference Points
Yield Curves
Figure 10: Equilibrium yield curves as a function of fishing mortality rates, assuming all fishing mortality comes from the gillnet fleet.
Stock specific fits
Aggregate
Age composition fits
Figure 11: Model fits to yearly Aggregate stock age compositions for the reduction fleet. Grey bars are age composition observations, and lines/points are the model expected values.
Figure 12: Model fits to yearly Aggregate stock age compositions for the seineRoe fleet. Grey bars are age composition observations, and lines/points are the model expected values.
Figure 13: Model fits to yearly Aggregate stock age compositions for the gillnet fleet. Grey bars are age composition observations, and lines/points are the model expected values.
Figure 14: Age composition residuals for the Aggregate sub-stock. Positive residuals are black black, while negative residuals are red.
Age composition post tail compression
